Previous Experience and Skills

You will be part of an organisation of both police officers and police staff colleagues and should be able to demonstrate an excellent range of transferrable skills.

We welcome applicants who are highly motivated, proven team players with excellent communication and relationship building skills; an individual who visibly demonstrates the values of the organisation as well as national fairness in policing principles.

The ideal candidate will be able to deliver a creative and innovative approach to understanding and communicating performance issues to and on behalf of our partner law enforcement agencies in the UK.  You will develop the data collection strategies for NABIS to deliver the analytical products in support of the senior decision makers and develop frameworks using structured analytical techniques. You will carry out projects, reviews, assessments and evaluations to help interpret operational performance using Statistical Process Control (SPC) methodology.

You will report to senior decision making forums via written and verbal reports, using information from a variety of sources, to deliver data and statistics on behalf of NABIS in a timely and accurate manner. You will be required to conduct research, including questionnaire design and the analysis and interpretation of responses; actively participate in briefings, meetings, seminars and workshops.  Gather, present and exchange performance related information with partner agencies.

You will be expected to be an active team member and support the Heads of Departments in all aspects of performance management.  You will work without direct supervision using your own initiative and experience.  You will perform a pivotal role in delivering the NABIS performance function to support work targeting the Criminal Use of Firearms.

Essential Criteria:

·         A good standard of education, including a minimum Grade C for Maths and English Language GCSE.

·         An understanding of research and statistical techniques, including the ability to undertake research, determine the most appropriate methodology, formulate and test hypotheses

·         Experience in working in the business area of performance management, research or statistics.

·         Ability to research, collate, analyse and interpret data from a wide range of sources.

·         A significant level of skill in the use of Microsoft Office products, data mining tools and other relevant computer based information and analysis systems, for example Qlik.

·         Proven numerical ability.

·         Able to work methodically and logically with an enquiring and analytical mind.

·         Effective written and verbal communication skills and the ability to work with people at all levels.

·         Ability to prioritise own workload and manage competing demands.

Desirable Criteria:

·         Degree in a research/statistical discipline or other relevant subject (or demonstration of the intellectual abilities associated with that level).

·         Knowledge and understanding of performance management theory and techniques.

·         Problem solving skills accompanied with innovative and creative thinking.

·         Previous Experience / knowledge of UK Policing would be an advantage.

NABIS fully supports and is proud of its commitment to the principles of Diversity and Inclusion to maximise the potential of people from all backgrounds through a culture of fairness and inclusion to deliver the best service for our communities.

West Midlands Police are currently undertaking a long term review of staff pay and conditions.  The grade, pay and other terms of employment are therefore subject to review and may change in the future. 

West Midlands Police is a Disability Confident Leader - the highest level an organisation can achieve under the scheme run by the Department of Work and Pensions.  As part of our commitment we operate a Guaranteed Interview Scheme - all candidates who declare a disability and meet the essential criteria for the role will be guaranteed an interview.